CVE Catalog

CVE-2025-13922

MediumCVSS 6.5
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.30%

21th percentile - higher than 21% of all known CVEs

Summary

The Tag, Category, and Taxonomy Manager – AI Autotagger with OpenAI plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'existing_terms_orderby' parameter in the AI preview AJAX endpoint in all versions up to, and including, 3.40.1. This is due to insufficient escaping on user-supplied parameters and lack of SQL query parameterization. This makes it possible for authenticated attackers, with Contributor-level access and above who have AI metabox permissions, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database, cause performance degradation, or enable data inference through time-based techniques.

Risk Assessment

An attacker with a Contributor account can exfiltrate sensitive data from the WordPress database, including user data, and degrade site performance.

Recommendation

Update the plugin to a version newer than 3.40.1; if not possible, restrict Contributor privileges and disable AI metabox features for unprivileged roles.

Other vulnerabilities in Tag, Category, and Taxonomy Manager – AI Autotagger with OpenAI

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Original NVD description (English source)

The Tag, Category, and Taxonomy Manager – AI Autotagger with OpenAI plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'existing_terms_orderby' parameter in the AI preview AJAX endpoint in all versions up to, and including, 3.40.1. This is due to insufficient escaping on user-supplied parameters and lack of SQL query parameterization. This makes it possible for authenticated attackers, with Contributor-level access and above who have AI metabox permissions, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database, cause performance degradation, or enable data inference through time-based techniques.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS